Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters. - Xunzhi Zhu; Jinchuan Zhou; Lili Pan 003; Wenling Zhao (J. Appl. Math., 2012)

Channel Allocation in Sociability-Assisted Cognitive Radio Networks Using Semi-definite Programming. - Zhen Li 002; Tao Jing; Yan Huo; Lili Pan 003; Wei Zhou 010 (WASA, 2014)

Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming. - Lili Pan 003; Ziyan Luo; Naihua Xiu (J. Optim. Theory Appl., 2017)

Hierarchical residual stochastic networks for time series recognition. - Chunyu Xie; Ce Li 002; Baochang Zhang 001; Lili Pan 003; Qixiang Ye; Wei Chen 016 (Inf. Sci., 2019)

An Armijo-Type Hard Thresholding Algorithm for Joint Sparse Recovery. - Lili Pan 003; Xunzhi Zhu (IEEE Access, 2021)

Newton method for ℓ0-regularized optimization. - Shenglong Zhou 001; Lili Pan 003; Naihua Xiu (Numer. Algorithms, 2021)

Optimality conditions for locally Lipschitz optimization with l0-regularization. - Hui Zhang; Lili Pan 003; Naihua Xiu (Optim. Lett., 2021)

Group Sparse Optimization for Images Recovery Using Capped Folded Concave Functions. - Lili Pan 003; Xiaojun Chen (SIAM J. Imaging Sci., 2021)

Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. - Shenglong Zhou 001; Lili Pan 003; Naihua Xiu; Hou-Duo Qi (SIAM J. Optim., 2021)

Newton Hard-Thresholding Pursuit for Sparse Linear Complementarity Problem via A New Merit Function. - Shenglong Zhou 001; Meijuan Shang; Lili Pan 003; Mu Li (SIAM J. Sci. Comput., 2021)

Solution sets of three sparse optimization problems for multivariate regression. - Xiaojun Chen 001; Lili Pan 003; Naihua Xiu (J. Glob. Optim., 2023)

Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection. - Xianchao Xiu; Lili Pan 003; Ying Yang 002; Wanquan Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)